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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 8 days ago
. The successful candidate will support research activities related to Geographic Information Systems (GIS), spatial statistics, accessibility modelling, territorial typologies, dashboard development, and scientific
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 8 days ago
% of the final score. If no interviews are conducted, the final ranking will be based solely on the curriculum evaluation results. The fellowship may not be awarded if candidates do not match the required profile
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of Language) to conduct research in language acquisition, focusing on either computational models of language learning (including modelling language bootstrapping from thought) or experimental and
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. Knowledge of data-driven analytics, machine learning, signal processing, or advanced modelling techniques relevant to power systems. Experience with real-time simulation platforms, hardware-in-the-loop
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entitled “The Dynamics of Pregnancy: Integrating Imaging, wearables, and modelling to uncover Maternal-Placental-Fetal Interactions”. The overall aim of the project is to identify risk markers associated
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learning, or computational research Required Experience Demonstrated experience building, training, fine-tuning, and evaluating machine-learning or deep-learning models using established frameworks such as
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-making under uncertainty relevant to security and defense settings. Research activities will focus on methodological innovation, theoretical development, and applied mathematical/statistical modeling. Why
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farmer livelihoods. We seek candidates with expertise in landscape ecology, agroecology, ecosystem services, conservation/restoration decision-making, agent-based modelling, or related fields. The PDF will
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) statistics and data science Experience with mathematical modelling (e.g., linear algebra, linear models methodologies) Demonstrated programming skills in C/C++, Python, R or comparable languages. Experience
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motivated Postdoctoral Associate to join a research project focused on multiphysics simulations and computational modeling. The successful candidate will develop and perform finite element-based simulations